Intern Physical AI, Robotics & AI Coding - Spring 2027

Spring 2027 Full-Time Internship - Mountain View, CA
January 11, 2027 - May 14, 2027

WHAT AWAITS YOU.


* Scout emerging U.S.-based technologies, startups, research institutions, and industry players in the fields of Physical AI, Robotics, Vision-Language-Action (VLA) models, Robotic Foundation Models, and selected AI-enabled software development approaches and tools.


* Evaluate technology trends, business models, and market developments to identify opportunities relevant for future BMW production systems and manufacturing processes.


* Support benchmarking activities of humanoid robots, mobile manipulators, foundation models, and AI-enabled automation solutions.


* Analyze data strategies for large-scale robotics deployment, including data acquisition, labeling, synthetic data generation, and scalable training approaches.


* Support the planning, execution, and evaluation of Proof of Concepts (PoCs) with technology partners, startups, universities, and industrial suppliers.


* Develop technology assessments and recommendations considering scalability, maturity, business impact, implementation effort, and strategic relevance for BMW.


* Create management-ready reports, presentations, and technology overviews to communicate scouting results and project findings.


* Collaborate with internal BMW stakeholders across production, technology development, innovation management, and digitalization functions.


* Investigate how Physical AI and Robotics technologies can improve cost, quality, flexibility, and productivity in future manufacturing environments.

WHAT WE ARE LOOKING FOR.


* Currently enrolled in a master's degree program at an accredited college or university.


* US Work Authorization required.


* Minimum cumulative GPA of 3.0 (overall, not just major).


* Completed at least 60 college credit hours at the time of application.


* Ability to work full-time (36.25 hours/week).


* Must submit an unofficial college transcript with your application.

WHAT YOU SHOULD BRING.


* Field of Study: Robotics, Mechanical Engineering, Computer Science, Artificial Intelligence, Electrical Engineering, Data Science, or related fields.


* Business fluent English.


* Strong interest in Physical AI, Robotics, Autonomous Systems, Machine Learning, and emerging technology ecosystems.


* Basic understanding of robot learning approaches including Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, Reinforcement Learning, and Foundation Models.


* Familiarity with robotics frameworks and AI development tools such as ROS, Python, PyTorch, TensorFlow, Isaac Sim, Mujoco, as well as an interest in AI-assisted software engineering workflows, or similar environments.


* Strong analytical skills and ability to evaluate technologies, business models, and market developments.


* Experience conducting technical research, benchmarking studies, or data-driven analyses.
...